Department of Physical Therapy, School of Medical Rehabilitation, University of Manitoba, R106-771 McDermot Avenue, Winnipeg, Manitoba, Canada.
J Clin Epidemiol. 2009 Nov;62(11):1181-8. doi: 10.1016/j.jclinepi.2009.03.014. Epub 2009 Jul 16.
To develop and apply a framework that uses structural equation modeling to identify response shift (RS) in data with more than two time points.
The framework addresses key issues that arise when analyzing data with multiple time points using a model-based approach to test for RS: model validation, correction for multiple testing, and adoption of an exploratory or theory-driven approach to identify the type and timing of RS. Data from an observational study of 678 individuals at 1, 3, 6, and 12 months poststroke are used to demonstrate the application of the framework to a model for mental health.
Uniform and nonuniform recalibration was identified at 6 and 12 months poststroke.
Studies that identify the type and timing of RS in certain client populations are useful for planning the timing of treatment and the methods to measure RS clinically. Validation of the model and adjusting for the effects of multiple testing increases confidence in the mental health model and the resulting identification of RS.
开发并应用一个框架，使用结构方程模型来识别具有两个以上时间点的数据中的反应转移（RS）。
该框架解决了使用基于模型的方法分析具有多个时间点的数据时出现的关键问题：模型验证、多次测试校正以及采用探索性或理论驱动的方法来识别 RS 的类型和时间。利用中风后 1、3、6 和 12 个月的 678 名个体的观察性研究的数据，演示了该框架在心理健康模型中的应用。
在中风后 6 个月和 12 个月时发现了统一和非统一的重新校准。
在某些特定患者群体中识别 RS 类型和时间的研究对于规划治疗时机和临床上测量 RS 的方法很有用。验证模型并调整多次测试的影响，可以提高对心理健康模型以及由此产生的 RS 识别的信心。
